ICJIA R Workshop

Preface

2018-02-13
Bobae Kang
(Bobae.Kang@illinois.gov)

Source: r-project.org

“R is a language and environment for statistical computing and graphics.” - The R Foundation

• Built for data analysis and visualization
• One of the the most popular choices of programming language among academic researchers and data scientists

• Open source (free!)
• Built for statistical analysis
• Reproducible and transparent
• Extensible through powerful third-party libraries
• Enabling researchers to tackle a variety of tasks using a single platform

• Import and manipulate tabular data files using R;
• Create simple data visualizations to extract insight from data using R;
• Perform basic statistical analysis using R;
• Generate a report on a simple data analysis task using R

• Understand the basic elements of the R programming language;
• Employ the programmatic approach to research and data analysis projects; and
• Leverage online resources to find solutions to specific questions on using R for a given task.

• Six modules
• One module per week
• Each module consists of two parts
  • except the first module on introduction
• All workshop materials (slides and notes) will be available
• I will be available, too, for answering questions

1. Introduction to R
2. R basics
3. Data analysis in R
4. Data visualization in R
5. Statistical modeling in R
6. Sharing your analysis and more